Quant Engineer

Quant Engineer to design, build, and scale a production-grade trading engine powering a quantamental investment platform. Focus on core execution, event-driven backtesting simulations, live order routing, low-latency infrastructure, and reliable end-to-end execution from research to paper trading to live trading. Responsibilities include architecting the execution engine, managing signal-to-order pipelines, order lifecycle processing, and broker/exchange integrations via REST and WebSockets, plus ensuring state consistency, idempotency, and reduced latency across simulated, paper, and live environments. Required strengths include production trading systems experience, practical failure-mode expertise in distributed architectures and live trading pipelines, attention to data correctness, and proficiency with backend, event-driven, and real-time streaming architectures in Python, Go, or Rust; familiarity with Lean, NautilusTrader, or Hummingbot is advantageous.